constrained optimization

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ICLR 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning NeurIPS 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ICLR 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents AAAI 2024 Multi-agent assignment via state augmented reinforcement learning L4DC 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024 Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NeurIPS 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024 Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths AAAI 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Providing Fair Recourse over Plausible Groups AAAI 2024 Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics ICML 2024 Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy NeurIPS 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024